Statistics Sampling Methods & Survey Design 3

Question 1

The margin of error in a survey estimate is primarily determined by which two factors?

Accepted Answer

Sample size and confidence level

Answer

Population size and question wording

Answer

Survey length and response rate

Answer

Stratum boundaries and cluster size

Question 2

In quota sampling, how does a researcher select participants?

Accepted Answer

To fill predetermined numerical quotas for specific subgroups

Answer

Using a random number table

Answer

From naturally occurring geographic clusters

Answer

At fixed intervals from a sorted list

Question 3

Which sampling technique involves progressively narrowing a sample through multiple stages of random selection?

Accepted Answer

Multistage sampling

Answer

Stratified proportional sampling

Answer

Sequential systematic sampling

Answer

Convenience cluster sampling

Question 4

Snowball sampling is most appropriate when the researcher is studying:

Accepted Answer

A rare or hard-to-reach population without an available sampling frame

Answer

A large, well-documented population in a national registry

Answer

A population that can be systematically listed by ZIP code

Answer

A population stratified by a known categorical variable

Question 5

Post-survey weighting is applied primarily to:

Accepted Answer

Correct for over- or under-representation of certain groups relative to the population

Answer

Increase the effective sample size after data collection

Answer

Eliminate outliers and extreme responses from the dataset

Answer

Test whether the survey instrument is reliable

Question 6

Survey reliability is best defined as:

Accepted Answer

The consistency of survey results when administered repeatedly under the same conditions

Answer

Whether the survey measures the construct it was intended to measure

Answer

The proportion of surveys successfully completed and returned

Answer

The accuracy of the sampling frame relative to the population

Question 7

Compared to simple random sampling, stratified sampling tends to produce more precise estimates because:

Accepted Answer

Strata are internally homogeneous, reducing within-group variance and therefore sampling error

Answer

It requires a smaller population to be effective

Answer

It eliminates the need for a complete sampling frame

Answer

It allows researchers to use convenience methods within each stratum